Data Scientist - Python/SQL (7-8 yrs)

Job description :

Enthusiastic and self-motivated, with ability to lead supply chain analytics projects proactively Meticulous attention to detail, with an overall passion for continuous improvement Innovative and creative, with a logical and methodical approach to problem solving Credible and articulate, with excellent communication, presentation, and interpersonal skills Ability to multi-task and manage competing priorities

Qualifications :

- Bachelors/Masters/PhD in Statistics / Econometrics/ Operation Research / Actuarial Science or any other quantitative

Candidates should have 7 plus years of hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions

- Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests

- Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research

- Experience in Python , SQL , GCP or any other cloud platforms highly desired

- Lead And Co-Lead high impact business projects with time bound and effective project management leveraging tools like rally, jira

- Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions

- Use statistical methodologies leveraging analytical tools to support different business initiatives

- Continual enhancement of statistical techniques and their applications in solving business objectives

- Compile and analyze the results from modeling output and translate into actionable insights through dashboards or web applications

- Acquire and share deep knowledge of data utilized by the team and its business partners

- Participate in global conference calls and meetings as needed and manage multiple customer interfaces

- Execute analytics special studies and ad hoc analyses in a quick turn around time

- Evaluate new tools and technologies to improve analytical processes

- Efforts will focus on the following key areas :

1. Domain - Supply Chain , Logistics

2. Various classical Statistical techniques such as Regression, Multivariate Analysis etc.

3. Data Mining & Text Mining, NLP, Gen AI

4. Operations Research

5. Time Series based forecasting modeling

6. Demand Modeling

7. Market Research

- Experience with SQL and data warehousing (e. g. GCP/Hadoop/Teradata/Oracle/DB2)

- Experience using tools in BI, ETL, Reporting /Visualization/Dashboards

- Programming experience in languages like Python with the understanding of object-oriented programming strongly desired

- Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management.

Soft Skill :

- Good Analysis and problem-solving skills.

- Ability to get Insights from Data, provide visualization, and story-telling.

- Flexibility to explore and work with newer technologies and tools.

- Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.

- Excellent collaborative communication and Team skills